Applications of Multi-Agent Systems: 6th European Workshop on Modelling Autonomous Agents in a Multi-Agent World, MAAMAW '94, Odense, Denmark, August 1994 Proceedings.: Lecture Notes in Computer Science, cartea 1069
Editat de John Perram, Jean-Pierre Mülleren Limba Engleză Paperback – 24 apr 1996
The 15 revised full papers included in the book were carefully selected from the workshop contributions; they address various current aspects of multi-agent systems, with a certain focus on applicational aspects. In addition, there is an invited paper "Agents: towards a society in which humans and computers cohabitate" by Mario Tokoro.
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Specificații
ISBN-13: 9783540611578
ISBN-10: 3540611576
Pagini: 236
Ilustrații: VIII, 228 p.
Dimensiuni: 155 x 235 x 12 mm
Greutate: 0.34 kg
Ediția:1996
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 3540611576
Pagini: 236
Ilustrații: VIII, 228 p.
Dimensiuni: 155 x 235 x 12 mm
Greutate: 0.34 kg
Ediția:1996
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence
Locul publicării:Berlin, Heidelberg, Germany
Public țintă
ResearchCuprins
Agents: Towards a society in which humans and computers cohabitate.- ARCHON and its environment.- What ants cannot do.- Towards a theory of cooperative problem solving.- A tool for handling uncertain information in multi-agent systems.- DA-SoC: A testbed for modelling distribution automation applications using agent-oriented programming.- APPEAL: A multi-agent approach to interactive learning environments.- Language constructs for coordination in an agent space.- A distributed approach to partial constraint satisfaction problems.- A collaboration strategy for repetitive encounters.- ASIC: An architechture for social and individual control and its application to computer vision.- Hierarchical model and communication by signs, signals, and symbols in multi-agent environments.- Plan recognition: From single-agent to multi-agent plans.- Distributed negotiation-based task planning for a flexible manufacturing environment.- A multi-agent approach to dynamic, adaptive scheduling of material flow.- Motion planning for an articulated robot: A multi-agent approach.